New eye tracking metrics system: the value in early diagnosis of autism spectrum disorder DOI Creative Commons

Raymond Kong Wang,

Kenneth K. Kwong, Kevin Liu

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 11, 2024

Background Eye tracking (ET) is emerging as a promising early and objective screening method for autism spectrum disorders (ASD), but it requires more reliable metrics with enhanced sensitivity specificity clinical use. Methods This study introduces suite of novel ET metrics: Area Interest (AOI) Switch Counts (ASC), Favorable AOI Shifts (FAS) along self-determined pathways, Vacancy (AVC), applied to toddlers preschoolers diagnosed ASD. The correlation between these new Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) scores via linear regression the cut-off were assessed predict diagnosis. Results Our findings indicate significantly lower FAS ASC higher AVC (P<0.05) in children ASD compared their non-ASD counterparts within this high-risk cohort; significance was not seen total fixation time neither pupil size (p > 0.05). Furthermore, negatively correlated ADOS-2 social affect (SA) subscale < Among metrics, yielded best 88-100% 80-88% cut off score 0.305-0.306, followed by separate from Conclusions confirms utility innovative metrics—FAS, AVC, ASC—which exhibit markedly improved specificity, enhancing diagnostic processes.

Language: Английский

Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses DOI Creative Commons
Christos Papanikolaοu, Akriti Sharma, Pedro G. Lind

et al.

Entropy, Journal Year: 2024, Volume and Issue: 26(5), P. 392 - 392

Published: April 30, 2024

The precise mathematical description of gaze patterns remains a topic ongoing debate, impacting the practical analysis eye-tracking data. In this context, we present evidence supporting appropriateness Lévy flight for eye-gaze trajectories, emphasizing its beneficial scale-invariant properties. Our study focuses on utilizing these properties to aid in diagnosing Attention-Deficit and Hyperactivity Disorder (ADHD) children, conjunction with standard cognitive tests. Using method, found that distribution characteristic exponent flights statistically is different children ADHD. Furthermore, observed deviate from strategy considered optimal searching processes, contrast non-ADHD children. We focused case where both data test are show ADHD can help identifying condition. Since be gathered during tests without needing extra time-consuming specific tasks, argue it prime position provide assistance arduous task

Language: Английский

Citations

5
New eye tracking metrics system: the value in early diagnosis of autism spectrum disorder DOI Creative Commons

Raymond Kong Wang,

Kenneth K. Kwong, Kevin Liu

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 11, 2024

Background Eye tracking (ET) is emerging as a promising early and objective screening method for autism spectrum disorders (ASD), but it requires more reliable metrics with enhanced sensitivity specificity clinical use. Methods This study introduces suite of novel ET metrics: Area Interest (AOI) Switch Counts (ASC), Favorable AOI Shifts (FAS) along self-determined pathways, Vacancy (AVC), applied to toddlers preschoolers diagnosed ASD. The correlation between these new Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) scores via linear regression the cut-off were assessed predict diagnosis. Results Our findings indicate significantly lower FAS ASC higher AVC (P<0.05) in children ASD compared their non-ASD counterparts within this high-risk cohort; significance was not seen total fixation time neither pupil size (p > 0.05). Furthermore, negatively correlated ADOS-2 social affect (SA) subscale < Among metrics, yielded best 88-100% 80-88% cut off score 0.305-0.306, followed by separate from Conclusions confirms utility innovative metrics—FAS, AVC, ASC—which exhibit markedly improved specificity, enhancing diagnostic processes.

Language: Английский

Citations

0